You have no items in your shopping cart.
Course Details
Course Details
What You'll Learn
Topic 1: Getting Started with Agentic AI for Google Ads
Topic 2: Keyword Research and Ad Copy with AI
Topic 3: Building and Optimising Campaigns with AI
Topic 4: Automating and Scaling Google Ads with AI Agents
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
You will need the following for this course:
- A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (confirm the required account tier with the trainer)
- A Google Ads account
- Google Analytics – free
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
Job Roles
Job Roles
- PPC Specialist
- Digital Marketing Manager
- Google Ads Campaign Manager
- Search Engine Marketing (SEM) Specialist
- Online Advertising Specialist
- Digital Marketing Strategist
- E-commerce Marketing Manager
- Lead Generation Specialist
- Affiliate Marketer
- Brand Manager (digital focus)
- Conversion Rate Optimizer
- SEO Specialist (broadening skills)
- Digital Advertising Analyst
- E-commerce Business Owner
- Marketing Automation Specialist.
Trainers
Trainers
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
Paid search only pays off when the landing page, the message and the follow-up all line up, and Dr. Alfred Ang builds all three. Dr. Ang is a full-stack AI developer, Agentic AI solution architect, corporate trainer and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the organisation behind Tertiary Courses, and builds intelligent agents and web solutions end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub include a long list of conversion-focused sites: an SEO-focused marketing consultancy landing page with WhatsApp lead capture, a demand-generation consultancy site, financial planning lead-generation pages with a retirement calculator and gated checklist, and a bakery training lead-magnet site with an n8n and Gemini course chatbot. Dr. Ang's ai-cms and ai-pei projects are AI-powered content management systems on Next.js and the Claude Agent SDK with SEO and lead capture built into every page, plus an auto-blog scheduler and a self-improving chatbot that keep content fresh and engagement high. For ad creative, logomaker generates brand logo options with Gemini and OpenAI image models, and socialmediapost pushes video, photos and text to 22 platforms through one API call. Dr. Ang also operates the ai-mms course-registration system behind the Tertiary Courses sites, where search traffic turns directly into registrations, keeping the focus firmly on measurable conversions rather than vanity clicks. Having built and measured so many landing pages, Dr. Ang understands that ad performance often depends on what happens after the click.
Agentic AI for Google Ads draws on that conversion-first mindset. The first topic, getting started with agentic AI for Google Ads, covers account structure, campaign types and how AI agents and generative tools can support each stage without handing over the budget blindly. In the second topic, keyword research and ad copy with AI, learners use AI to expand and group keywords, spot negative terms, analyse search intent and draft responsive search ads that match the landing page. The third topic, building and optimising campaigns with AI, works through bidding strategies, audience signals, conversion tracking and the A/B testing of headlines and descriptions, with Dr. Ang explaining how landing page speed and relevance affect quality and cost. The final topic, automating and scaling Google Ads with AI agents, shows how agents can monitor performance, flag wasted spend, draft reports and suggest changes for a person to approve. Dr. Ang keeps the class grounded in practical judgement, pointing out where automated recommendations help and where they quietly inflate spend. Sessions combine demonstrations with hands-on exercises, so marketers, business owners and agency staff can practise on realistic scenarios and leave with a campaign plan they can apply. Learners interested in the landing pages, lead-capture sites and AI content tools referenced throughout the course can browse Dr. Participants also learn how to set up a simple weekly review routine that keeps campaigns healthy without hours of manual checking. Ang's portfolio at https://github.com/alfredang.
Review
Customer Reviews (9)
- Hands-on and practical Review by Course Participant/Trainee
-
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 5/20/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Fantastic experience Review by Course Participant/Trainee
-
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 4/8/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Fantastic experience Review by Course Participant/Trainee
-
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 4/4/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Excellent course Review by Course Participant/Trainee
-
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 2/9/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
Write Your Own Review
- Recommended Courses
